Triple

T36192001
Position Surface form Disambiguated ID Type / Status
Subject Toba-tennō E1047013 entity
Predicate usedPoliticalSystem P103899 FINISHED
Object insei system NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: insei system | Statement: [Toba-tennō, usedPoliticalSystem, insei system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedPoliticalSystem
Context triple: [Toba-tennō, usedPoliticalSystem, insei system]
  • A. associatedPoliticalSystem chosen
    Indicates that there exists a political system with which the subject is formally or conceptually connected.
  • B. supportedPoliticalSystem
    Indicates that one entity endorsed, favored, or actively backed a particular political system or form of governance.
  • C. politicalFramework
    Indicates the overarching system of political structures, principles, and rules that organize and govern relationships and decision-making within a society or institution.
  • D. formerPoliticalSystemOfCountry
    Indicates that a specified political system previously governed a given country but is no longer in place there.
  • E. laterPoliticalSystemUnderRule
    Indicates that one political system came under the rule or authority of another political system at a later point in time.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f76e3d4fbc81908c159c7beeb4ce00 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b69b333081909cadbed3fcb8ecf5 completed May 3, 2026, 8:56 p.m.
PD Predicate disambiguation batch_69f7b4c2a5f8819094ad4621d7b97e0c completed May 3, 2026, 8:49 p.m.
Created at: May 3, 2026, 4:08 p.m.